nubia NX725J
Geekbench AI Score
618
Single Precision Score
805
Half Precision Score
775
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 19 2024 07:36 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | nubia NX725J |
| Model ID | nubia NX725J |
| Motherboard | kalama |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 11.02 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
494
91.8 IPS |
|
|
Image Classification (HP)
|
100% |
679
126.3 IPS |
|
|
Image Classification (Q)
|
96% |
631
117.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
966
15.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1504
24.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
915
14.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
680
0.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
1037
1.21 IPS |
|
|
Pose Estimation (Q)
|
96% |
1042
1.22 IPS |
|
|
Object Detection (SP)
|
100% |
365
28.9 IPS |
|
|
Object Detection (HP)
|
100% |
606
48.1 IPS |
|
|
Object Detection (Q)
|
87% |
664
53.3 IPS |
|
|
Face Detection (SP)
|
100% |
1646
19.6 IPS |
|
|
Face Detection (HP)
|
100% |
1564
18.6 IPS |
|
|
Face Detection (Q)
|
97% |
1557
18.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1115
8.59 IPS |
|
|
Depth Estimation (HP)
|
99% |
1925
14.9 IPS |
|
|
Depth Estimation (Q)
|
63% |
1687
15.6 IPS |
|
|
Style Transfer (SP)
|
100% |
2870
3.69 IPS |
|
|
Style Transfer (HP)
|
100% |
6606
8.49 IPS |
|
|
Style Transfer (Q)
|
98% |
6434
8.30 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
341
12.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
228
8.42 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
221
8.20 IPS |
|
|
Text Classification (SP)
|
100% |
147
195.8 IPS |
|
|
Text Classification (HP)
|
100% |
148
197.3 IPS |
|
|
Text Classification (Q)
|
91% |
246
330.9 IPS |
|
|
Machine Translation (SP)
|
100% |
264
4.56 IPS |
|
|
Machine Translation (HP)
|
100% |
266
4.59 IPS |
|
|
Machine Translation (Q)
|
57% |
213
5.21 IPS |
